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Biometrics startup ID R&D released IDLive Face this week. The new solution adds liveness detection to facial recognition technology in an entirely passive manner.
Facial recognition technology has been used in fintech and other verticals to authenticate users for years. And in order to prove that the user wasn’t spoofing their identity using a static photo, many technologies use liveness detection, which requires the user to perform a handful of actions such as blinking, smiling, and turning their head.
With IDLive Face, however, the liveness detection is invisible to the user since it runs in the background of the application. This not only makes a frictionless user experience, it also prevents fraudsters from learning how to spoof the technology.
“IDLive Face requires absolutely no actions from the end user,” said ID R&D CEO Alexey Khitrov. “Eliminating complexity in the user experience is one of the primary focus areas of our research… Armed with excellent real-world results, we are thrilled to offer businesses fully frictionless authentication that aligns with rigorous compliance requirements for onboarding and data management.”
The new technology leverages AI-based algorithms that process images in near real-time. IDLive Face doesn’t require the end user to have any special capture software and is available as an SDK and Docker container on Linux and Windows.
At FinovateFall 2018, Khitrov demoedSafeChat2.0, an application that passively verifies a user’s identity throughout the conversation (typing or speaking) without asking them to do anything special to authenticate themselves.
ID R&D offers authentication technologies that span the biometric spectrum. The company’s IDVoice is a standalone version of its core voice biometric capability,IDSquared is a tool that validates the user by capturing their face as they type their login credentials, and IDBehave is a behavioral biometrics solution that creates a unique biometric template for each user.
Unveiled this week, the latest version of ID R&D’s voice solution, IDVoice, leverages AI and voice technology to give users a major boost in biometric matching speed and an enhanced, multi-channel onboarding and authentication process.
“As enterprises migrate to conversational interfaces through mobile, web, and call center applications, a strong cross-channel voice authentication capability is essential,” ID R&D Chief Science Officer Konstantin Simonchik said. “With IDVoice v2.7, we are making it much easier and more efficient for enterprises to deploy voice biometrics consistently on all channels using the programming tools they prefer.”
IDVoice enables enterprises to execute on their omni-channel voice biometric strategy, while avoiding the drawbacks common to many other voice biometric solutions. With IDVoice, for example, developers can account for different channels without requiring separate enrollments for each channel (i.e., mobile, web app, call center, etc.). This is made possible by the platform’s biometric engine architecture which is channel, language, and age variance agnostic, as well as being resistant to environmental noise.
Other enhancements to the technology improve its ability to detect voice activity and add a 10x speed improvement to a critical platform algorithm. Together these improvements ensure that IDVoice provides higher quality and faster onboarding and verification, saving time and improving the user experience. Opus Research founder and lead analyst Dan Miller referred to the technology as offering a “zero-effort authentication process (that is) fast becoming a necessity for businesses with customers who reach out across multiple devices and channels.”
The launch of the latest version of IDVoice comes just days after ID R&D announced that sound recognition technology specialist Wavio would integrate ID R&D’s AI and machine learning acoustic detection functionality into its sound recognition solution, SoundAI.
“Wavio was highly impressed when we tested ID R&D’s software, and after learning more about ID R&D’s deep research and knowledge of voice, audio processing, and the very latest in artificial intelligence methods, we were convinced that ID R&D is the right partner to help us fulfill our mission,” Wavio CEO Greyson Watkins said.
ID R&D demonstratedSafeChat, its frictionless, continuous authentication for remote logins and conversational interfaces, at FinovateFall 2018. The technology provides authentication by leveraging a combination of biometric inputs that are available through the normal interactions between users and the device. This enables the solution to verify the identity of users without requiring them to do anything specific to authenticate. ID R&D noted that the technology brings a biometrically-secured, Alexa-like experience to mobile, conversational, and IoT platforms.
Founded in 2016, ID R&D is headquartered in New York City. The company has raised $5.7 million in funding from investors including GSR Ventures and Gagarin Capital Partners. Alexey Khitrov is CEO.
New York biometrics technology provider ID R&D has raised $5.7 million in Series A funding, reports Jane Connolly of Fintech Futures, Fintech’s sister publication.
The round was led by a new investor, GSR Ventures, with participation from an existing investor, Gagarin Capital. This is the New York-based company’s second investment; the first being a Seed round of an undisclosed amount raised in December of 2017.
The investment will be used to meet the increasing demand for its artificial intelligence (AI) based voice and behavioral solutions, along with voice and face anti-spoofing technologies. ID R&D will also be using it to add engineering staff and drive international sales.
“What we’ve consistently heard from our customers is that ID R&D’s technologies and solutions stand alone in offering a vastly simplified user experience that doesn’t sacrifice the security of authentication,” said ID R&D CEO, Alexey Khitrov.
The biometric tech provider aims to meet the demand from businesses for conversational interface (CI) and replace existing password and security question-based authentication processes with quicker, simpler voice and facial recognition solutions that require little or no involvement from the user.
The firm’s passive, anti-spoofing capabilities are designed to thwart fraudsters who attempt to access accounts using synthesized or recorded voices; or with photos, videos, or models of the real user’s face.
“With Grand View Research forecasting the speech and voice recognition market size to reach nearly $32 billion by 2025, businesses are racing to keep up with demand for authentication that works across multiple platforms and is as convenient as it is secure,” added Khitrov.
At FinovateFall 2018, Khitrov demoedSafeChat 2.0, an application that passively verifies a user’s identity throughout the conversation (typing or speaking) without asking a them to do anything special to authenticate themselves. In addition to SafeChat 2.0, the company offers IDVoice, a standalone version of ID R&D’s core voice biometric capability; IDSquared, a tool that validates the user by how they type their login credentials and by capturing their face at the same time; and IDBehave, a behavioral biometrics solution that creates a unique biometric template for each user.
ID R&D has seen rapid growth, doubling its sales contracts last year, growing its customer base by 25% in Q1 2019, doubling its staff, and opening a West Coast headquarters. The firm also added a major biometric integrator and a semiconductor company.